#!/usr/bin/env python
# coding: utf-8

# In[ ]:


import sys 
import urllib.parse 
from pyspark.sql 
import SparkSession 
from pyspark.sql 
import Row
from pyspark.sql.types 
import StringType, LongType, IntegerType, StructType, StructField

def mapDataLine(line): if len(line) == 0: return
logParams = line.split(" ") if len(logParams) < 10: return
orderParam = urllib.parse.unquote(logParams[5]).replace("/ll?", "")
I
orderParamList = orderParam.split("&") return (
orderParamList[0].split("=")[1], orderParamList[i].split("=")[i], int(orderParamList[2].split("=")[1]), int(orderParamList[3].split(”=")[!]), intiorderParamList[4].split("=")[I]), int(orderParamList[5].split("=")[1]), orderParamList[6].split("=")[1], orderParamList[7].split("=")[i]
)
                                                                                                            
def getSchema():
return StructType([
StructField("orderNo",StringType(),True),
StructField("goodsName",StringType(),True),
StructField("flag",IntegerType(), True),
StructField("createTime",LongType(), True),
StructField("totalPrice",LongType(), True),
StructField("goodsld",IntegerType(),True),
StructField("payType",StringType(),True),
StructField("username",StringType(),True)

if __name__== "main":
    if len(sys.argv) != 3:
        print("Usage: python_csdn_orderanalyse.py <data_path> <data_output_path>", file=sys.stderr) 
        sys.exit(-1) 
    dataPath=sys.argv[1] 
    dataOutputPath=sys.argv[2]

    
spark = SparkSession \
    .builder \
    .appName("PythonCSDNOrderAnalyseHomeWorkMr") \
    .getOrCreate()
sc = spark.sparkContext 
lines = sc.textFile(dataPath)
orderTuple = lines.map(lambda l: mapDataLine(l)) 
schemaOrder = spark.createDataFrame(orderTuple, getSchemaO) 
schemaOrder.createOrReplaceTempView("order")
    
resultRddOl = spark.sql("select from_unixtime(createTime/1000f 'yyyy-MM-dd HH:mm:ss') as minute, count(0) as sellCount from order group by minute order by minute asc")
resultRddOl.coalesced(1).write.csv(dataOutputPath + "/minute_sell_count")

